I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

C++ code for "A Faster Drop-in Implementation for Leaf-wise Exact Greedy Induction of Decision Tree Using Pre-sorted Deque"

Karma of Humans is AI

MasterThesis on Congestion Detection in SDN networks using Machine Learning

Quizzaro The Personality Quiz

Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties

A C++ project which efficiently solves any given N-puzzle using backtracking on a decision tree.

Implementation of Grid Search to find better hyper-parameters for decision tree to reduce the over fitting.

Decision Tree classifier from scratch without any machine learning libraries

Implementation of Decision Tree Algorithm using Python, Pandas, and NumPy without using any off the shelf library usi

The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the gender of someone given a novel set of body metrics.

QUEST is proposed by Loh and Shih (1997), and stands for Quick, Unbiased, Efficient, Statistical Tree. It is a tree-structured classification algorithm that yields a binary decision tree. A comparison study of QUEST and other algorithms was conducted by Lim et al (2000).

决策树代码简单实现

Recommendation System support Farmer to prevent The Blast Disease ( Type of Rice Disease )

Machine learning algorithms

Analytical tool to help the company decide whether the employee will stay or not

Distributed Decision Tree Induction using MPI

Prediction using Decision Tree Algorithm to create Decision Tree Classifier.

This project is my under-graduation final year thesis project.

Projects based on Machine Leaning